石皓天
- 长聘副教授
- 教师英文名称： Haotian Shi
- 教师拼音名称： Haotian Shi
- 职务： Tenured Associate Professor
- 学历： 博士研究生毕业
- 学位： 哲学博士学位
- 主要任职： 研究员/长聘副教授
- 毕业院校： 威斯康星大学麦迪逊分校
- 学科：交通运输规划与管理
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- [11]石皓天.Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approachRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2023,629
- [12]石皓天.Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive controlRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:COMMUNICATIONS IN TRANSPORTATION RESEARCH,2024,4
- [13]石皓天.Bus travel feature inference with small samples based on multi-clustering topic model over Internet of ThingsRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2025,163
- [14]石皓天.A distributed deep reinforcement learning-based integrated dynamic bus control system in a connected environment111 RIVER ST, HOBOKEN 07030-5774, NJ USA:COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING,2022,37(SI):2016-2032.
- [15]石皓天.A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoonTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2023,148
- [16]石皓天.Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2025,
- [17]石皓天.Physical enhanced residual learning (PERL) framework for vehicle trajectory predictionRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:COMMUNICATIONS IN TRANSPORTATION RESEARCH,2025,5
- [18]石皓天.Online adaptive platoon control for connected and automated vehicles via physics enhanced residual learningTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2025,178
- [19]石皓天.Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehiclesRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:KNOWLEDGE-BASED SYSTEMS,2023,269
- [20]石皓天.Generative adversarial network for car following trajectory generation and anomaly detection530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA:JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS,2025,29(1):53-66.